And finally, establishing a digital twin body on the basis of the production database and the finite element simulation result database, and adjusting and producing the rolling process parameters of each rack through the digital twin body so as to control the plate shape. And carrying out real-time transmission of the production data of the rolling mill and the data between the twin bodies through a data transmission interface. FIG. 2 is a flowchart of a board type control method according to embodiment 1 of the present invention;

before the plate blank enters a rolling mill, acquiring the incoming material information of the plate blank, introducing a digital twin body, and comparing the incoming material information with historical production data in a production database to predict the shape of a finish rolling outlet; the slab incoming material information comprises: steel grade, thickness, width, temperature, incoming material plate profile and the like collected by each sensor and upstream equipment. If the plate shape meets the prediction target, presetting rolling parameters according to a control model, and not sending a control instruction to the rolling mill by the twin; if the plate shape prediction result does not accord with the prediction target, the production process parameters of the rolling mill are adjusted once through the twin body according to the finite element simulation result database; the data of the primary adjustment comprises the preset rolling reduction of each rack, the roll shifting position of a working roll and the rolling speed;

in the rolling process, rolling process parameters and plate shape measurement data of each stand are transmitted into the twin body in real time, if a plate shape measurement result accords with a prediction target, the twin body does not adjust production process parameters, and the rolling mill executes an original rolling process and a control algorithm; if the plate shape measurement result does not accord with the prediction target, secondarily adjusting the production process parameters of the rolling mill through the twin body according to the finite element simulation result database; the data for the secondary adjustment includes single frame roller force and multi-frame roller force.

Through the process, the effect of controlling the real state by the virtual control and outputting the ideal plate shape can be achieved.

When judging whether the plate shape prediction result and the plate shape measurement result meet the target requirements, the target ranges of products with different specifications need to be set in advance.

For example, a target crown value C of a high-strength steel having an outlet thickness of 3mm and a width of 1600mm is set_tAt 60 μm, the convexity C is predicted_fOr measuring convexity C_mThe convexity can be considered to meet the target requirements when the following conditions are met:

0.85C_t<C_f<1.15C_t

0.85C_t<C_m<1.15C_t

a target crown range may also be set, such as crown target C_t60 μm, predicted convexity C_fOr measuring convexity C_mWithin the intervals (51,69), the target convexity requirement is considered to be met.

In addition, it should be noted that: the slab thermoplastic constitutive model in the physical model needs to be established on the basis of a thermal simulation experiment, the thermal simulation experiment has long period and high cost, the modeling process of each physical model is generally complex, and the plate shape defect does not occur in the rolling process of all specification plates and strips in consideration of the actual plate and strip rolling production. Therefore, in order to simplify the above process, in the specific implementation process, only a few steel grades with more plate shape defects or difficult plate shape quality control need to be subjected to related experiments, production process data acquisition, related physical model construction, finite element simulation calculation and digital twin construction, and the digital twin construction also only performs data transmission and plate shape control on the steel grades contained in the database. Thus, the implementation process of the invention is simplified and more feasible.

Example 2

Based on the strip steel hot rolled plate shape control method based on the digital twinning provided by the embodiment 1 of the invention, the embodiment 2 of the invention also provides a strip steel hot rolled plate shape control system based on the digital twinning. FIG. 3 is a schematic diagram of a digital twin-based strip hot rolled strip shape control system in embodiment 2 of the present invention. The system comprises an acquisition module, a first establishing module, a second establishing module and an adjusting module;

The second establishing module also comprises a calculating module; and the calculation module is used for calculating the output parameters of the input parameters which are not in the finite element result database by adopting a linear difference method.

The process of adjusting the rolling technological parameters of each rack through the digital twin body to control the plate shape comprises the following steps:

before the plate blank enters a rolling mill, acquiring the incoming material information of the plate blank, introducing a digital twin body, and comparing the incoming material information with historical production data in a production database to predict the shape of a finish rolling outlet; if the plate shape meets the prediction target, presetting rolling parameters according to a control model, and not sending a control instruction to the rolling mill by the twin; if the plate shape prediction result does not accord with the prediction target, the production process parameters of the rolling mill are adjusted once through the twin body according to the finite element simulation result database; the data of the primary adjustment comprise preset rolling load distribution, working roll shifting position and rolling speed;

When judging whether the plate shape prediction result and the plate shape measurement result meet the prediction target, the target range needs to be set for products of different specifications in advance.

The rolling technological parameters of each frame comprise the rolling reduction of each frame, the bending force of the working roll of each frame, the roll shifting amount of the working roll of each frame, the roll gap convexity of the working roll of each frame, the rolling speed of each frame and the rolling time of the working roll of each frame;

the finish outlet plate shape data includes crown, flatness, and wedge.

The process for establishing the thermoplastic constitutive model of the plate blank comprises the following steps:

The method for establishing the thermal expansion model of the working roll comprises the following steps: on the basis of measuring the surface temperature of the on-site roller, respectively aiming at different stand positions and different roller materials, considering different rolling stages and the on-machine time length, and establishing a working roller thermal expansion model.

The process of solving the input parameters of the finite element simulation model through the physical model comprises the following steps: and solving different slab state parameters, different rolling stages, different rolling process parameters, slab thermoplastic rheological stress at different frame positions, thermal convexity of the working roll, milling roll shape of the working roll and milling roll shape of the supporting roll through the slab thermoplastic constitutive model, the working roll thermal expansion model, the working roll milling model and the supporting roll milling model.

The invention carries out data interaction between the rolling mill and the twin body, can realize the prediction of the plate shape, adjusts the plate shape control means according to the plate shape prediction result and the rolling mill outlet plate shape measurement result, and improves the plate shape quality. The invention can greatly reduce the control of the console personnel on the board shape and solve the problem that finite element simulation is difficult to be applied on line.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, the scope of the present invention is not limited thereto. Various modifications and alterations will occur to those skilled in the art based on the foregoing description. And are neither required nor exhaustive of all embodiments. On the basis of the technical scheme of the invention, various modifications or changes which can be made by a person skilled in the art without creative efforts are still within the protection scope of the invention.

Claims

1. A strip steel hot rolled plate shape control method based on digital twinning is characterized by comprising the following steps:

2. The method for controlling the hot rolled strip shape based on the digital twin as claimed in claim 1, wherein the establishing of the finite element simulation result database further comprises: and calculating output parameters of the input parameters which are not in the finite element result database by adopting a linear difference method.

3. The digital twin-based hot rolled strip shape control method as claimed in claim 1, wherein the adjusting of the rolling process parameters of each stand by the digital twin to achieve the purpose of controlling the strip shape comprises:

before the plate blank enters a rolling mill, acquiring the incoming material information of the plate blank, introducing a digital twin body, and comparing the incoming material information with historical production data in a production database to predict the shape of a finish rolling outlet; if the plate shape meets the prediction target, presetting rolling parameters according to a control model, and not sending a control instruction to the rolling mill by the twin; if the plate shape prediction result does not accord with the prediction target, the production process parameters of the rolling mill are adjusted once through the twin body according to the finite element simulation result database; the data of the primary adjustment comprise preset reduction of each stand, roll shifting position of a working roll and rolling speed.

4. The digital twin-based strip hot rolled plate shape control method as claimed in claim 3, wherein a target range needs to be set in advance for products of different specifications when judging whether the plate shape prediction result and the plate shape measurement result meet prediction targets.

5. The strip steel hot rolled plate shape control method based on the digital twin as claimed in claim 1, wherein the rolling process parameters of each stand comprise the rolling reduction of each stand, the bending force of the working roll of each stand, the roll shifting amount of the working roll of each stand, the roll gap convexity of the working roll of each stand, the rolling speed of each stand and the rolling time of the working roll of each stand;

6. The digital twin-based hot rolled strip shape control method as claimed in claim 1, wherein the process of establishing the slab thermoplastic constitutive model includes:

7. The digital twin-based strip hot rolled plate shape control method as claimed in claim 1, wherein the method for establishing the thermal expansion model of the working rolls comprises the following steps: on the basis of measuring the surface temperature of the on-site roller, respectively aiming at different stand positions and different roller materials, considering different rolling stages and the on-machine time length, and establishing a working roller thermal expansion model.

8. The method for controlling the hot rolled strip shape based on the digital twin as claimed in claim 1, wherein the process of solving the input parameters of the finite element simulation model through the physical model is as follows: and solving different slab state parameters, different rolling stages, different rolling process parameters, slab thermoplastic rheological stress at different frame positions, thermal convexity of the working roll, milling roll shape of the working roll and milling roll shape of the supporting roll through the slab thermoplastic constitutive model, the working roll thermal expansion model, the working roll milling model and the supporting roll milling model.

9. A strip steel hot rolled plate shape control system based on digital twinning is characterized by comprising an acquisition module, a first establishing module, a second establishing module and an adjusting module;

10. The digital twin-based strip hot rolled plate shape control system according to claim 9, wherein the second establishing module further comprises a calculating module;